Machine Learning and Knowledge Discovery in Databases
Springer International Publishing (Verlag)
978-3-319-46130-4 (ISBN)
The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.
Practical and real-world studies of machine learning, knowledge discovery, data mining.- Innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting.- Recent advances at the frontier of machine learning and data mining with other disciplines.
Erscheinungsdatum | 08.10.2016 |
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Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XXII, 307 p. 119 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Schlagworte | Applications • Artificial Intelligence • Big Data • classification • Clustering • Computer Science • conference proceedings • Data Mining • data mining and knowledge discovery • enterprise applications • Expert systems / knowledge-based systems • graph mining • Informatics • information systems • large scale learning • Learning Paradigms • machine learning • pattern mining • probabilistic methods • Recommender Systems • Research • sequence mining • Social Media Analysis • Statistical Methods • supervised learning • Unsupervised Learning |
ISBN-10 | 3-319-46130-3 / 3319461303 |
ISBN-13 | 978-3-319-46130-4 / 9783319461304 |
Zustand | Neuware |
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